Most businesses don’t have an AI problem — they have an AI integration problem. The models are capable; the gap is connecting them to your real systems, data, and workflows so they actually do work. This page explains what AI integration services involve and how dgm delivers them as an independent partner. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry.)

What AI integration actually means

Integration is the unglamorous, decisive part of an AI project. It’s the work of making AI:

  • Read your data — connecting it to the documents, databases, and SaaS tools where your information actually lives.
  • Act in your systems — so it can update records, send messages, trigger processes, and complete tasks, not just answer questions.
  • Fit your workflows — slotting into how your team already works rather than forcing a new, parallel process nobody adopts.

A chatbot that can’t see your data or act in your tools is a demo. Integration is what turns it into something that moves a metric.

Why this is where projects succeed or fail

A consistent pattern across failed AI initiatives: the spend went to the model and the license, but the integration never happened. The tool sat beside the real workflow instead of inside it, so it never changed an outcome. The reverse is also true — a modest model, well integrated into a high-value workflow, often beats an impressive model that’s disconnected. That’s why dgm treats integration as the core of the work, not an afterthought.

How dgm approaches integration

dgm structures the engagement in two clear, fixed-price stages:

  • Assessment + roadmap ($399, one-time). We map your current tools, data, and workflows and identify where integrating AI delivers the most value — producing a concrete plan before you commit to a larger engagement.
  • Full integration ($3,999/month). We connect the platform to your systems and data, build the agents and automations that do the work, migrate off redundant tools where it makes sense, and train your team — with ongoing optimization. No per-seat fees.

We specialize in osFoundry because it’s model-agnostic (you keep vendor flexibility) and built to consolidate tools rather than add another one — but the engagement starts from your workflows, not the platform.

Integration vs implementation, strategy, and data work

Integration is one piece of a bigger picture, and it helps to know where it sits:

Often these run together; the assessment tells us which your situation needs most.

What good integration looks like

A few signals worth applying to any integration partner, including us: it starts from your workflows, not a product demo; it keeps you model- and vendor-flexible rather than locking you to one lab; it proves value on one workflow before scaling across the business; and it leaves your team able to run the system, not dependent on the consultant forever.

How dgm helps

dgm integrates osFoundry and other AI into the systems US businesses already run — connecting data, building the automations that do the work, and training your team to own it. If you’d rather explore the platform yourself first, you can go straight to osFoundry; if you want the integration done right and fast, that’s where dgm comes in.